In this post I discuss some of the academic papers I have read and found useful when considering deep learning in general, and specifically its application in finance. Implemented here via Flask.

Build a neural network with Javascript.

This is my capstone Project which predicts the disease in plants, don't forget to checkout the deployed app link

🧉 the ultimate deep learning project management and sharing tool

Udacity Datascience Nanodegree Capstone Project

Web Application for Deep Learning model generation-training-inference

Build a Convolutional Neural Network to classify if an image depicts a Vehicle.

Machine Learning Operations with a denoising diffusion model using a butterfly dataset

The missing tutorial for WebAssembly and Deep Learning.

Bloom is a project utilizing PyTorch and Jupyter notebooks to develop an image classifier for identifying different species of flowers using deep learning techniques.

A command line executable AI image classifier app

A deep-learning traffic sign detection and recognition project, using convolutional neural networks and vision transformers, implemented with PyTorch.

Trained an image classifier to recognise different species of flowers using transfer learning technique.

An image classifier to recognize different species of flowers. The network will be learning about flowers and end up as a command line application.

Build a pipeline to process real-world, user-supplied images and to put model into an app.

Welcome to the cutting-edge world of autonomous driving! This repository showcases an exceptional autonomous driving system that combines advanced technologies and groundbreaking algorithms.

Implementation of a Seq2Seq deep learning model using PyTorch. Trained model on SQuAD2 data set and interact via a chatbot.

This project leverages deep learning to predict Covid-19 patient mortality. The model is trained on a dataset generously provided by the Mexican government. It places a strong emphasis on crucial stages, including comprehensive data analysis and rigorous model training, with the ultimate goal of delivering a highly accurate deep learning model.